Morteza Shamanian
Isfahan University of Technology
315 Papers
606 Citations
Morteza Shamanian is an academic researcher from Isfahan University of Technology. The author has contributed to research in topics: Microstructure & Welding. The author has an hindex of 35, co-authored 281 publications. Previous affiliations of Morteza Shamanian include University of Isfahan.
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Papers
Study of DP590 Microstructure Welded with Resistance Spot Welding Method by Using EBSD Technique
TL;DR: In this paper, the effect of optimized welding on the weld microstructure was evaluated using optical microscopy as well as scanning electron microscope equipped with electron backscatter diffraction analysis (EBSD).
Void Formation and Plastic Deformation Mechanism of a Cold-Rolled Dual-Phase Steel During Tension
TL;DR: In this paper, the void formation and plastic deformation micromechanisms of a cold-rolled DP600 steel during tensile loading were studied by scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD).
Electron backscattered diffraction analysis of friction stir processed nanocomposites produced via spark plasma sintering
Behzad Sadeghi,Pasquale Cavaliere,Morteza Shamanian,Mohsen Sanayei,Jerzy A. Szpunar,Martin Nosko +5 more
TL;DR: The results revealed that the heat generated during FSP has a remarkable effect on the grain distribution as well as on the crystallographic orientation.
Mechanical and microstructural evaluation of SAF 2507 and incoloy 825 dissimilar welds
TL;DR: In this article, a comparative study on Incoloy 825 Ni-based alloy and SAF 2507 super duplex stainless steel dissimilar joints was conducted by optical microscopy, scanning electron microscopy equipped with an energy dispersive spectroscopy and X-ray diffraction.
Dilution and Ferrite Number Prediction in Pulsed Current Cladding of Super-Duplex Stainless Steel Using RSM
TL;DR: In this article, the effect of pulsed current gas tungsten arc cladding process parameters on the dilution and ferrite number of super-duplex stainless steel clad layer was investigated by applying response surface methodology.